Senior Data Scientist

Navy Federal Credit Union • Vienna, VA

6d

About The Position

This role in Fraud Analytics Data Science team is responsible for designing, evaluating, and maintaining advanced analytical and machine learning solutions to detect and prevent Identity Theft fraud. This role focuses on improving fraud detection effectiveness while minimizing false positives, operational friction, and member impact. The position requires strong analytical judgment, end‑to‑end ownership of complex analyses, and close collaboration with cross‑functional partners. The role includes engagement with third‑party fraud vendors, focused on analytical validation and model performance oversight. This role analyze complex datasets for fraud patterns, and collaborate with cross-functional teams and vendor to enhance fraud detection systems and communicate analytical insights to stakeholders and executive leadership. Principal‑level candidates will also be considered.

Navy Federal provides much more than a job. We provide a meaningful career
experience, including a culture that is energized, engaged and committed; and
fierce appreciation for our teams, who are rewarded with highly competitive pay
and generous benefits and perks.

Our approach to careers is simple yet powerful: Make our mission your passion.

Responsibilities

• Designing, evaluating, and maintaining advanced analytical and machine learning solutions to detect and prevent Identity Theft fraud.
• Improving fraud detection effectiveness while minimizing false positives, operational friction, and member impact.
• End‑to‑end ownership of complex analyses
• Close collaboration with cross‑functional partners.
• Engagement with third‑party fraud vendors, focused on analytical validation and model performance oversight.
• Analyze complex datasets for fraud patterns
• Collaborate with cross-functional teams and vendor to enhance fraud detection systems
• Communicate analytical insights to stakeholders and executive leadership.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 5,001-10,000 employees